Lecturer: Helen Pain
Informatics Forum 4.17
Contact e-mail: helen (at) inf (dot) ed (dot) ac (dot) uk
Tuesdays and Fridays from 12:10-13:00, beginning on Tuesday January
16th, 2018. There is no teaching 19th to 23rd February during Flexible Learning Week. Teaching ends on Friday 6th April.
The class meets on Tuesdays in TR12, MEDS: this is Teaching Room 12 (Doorway 3), Medical School Teviot,
and on Fridays in G16, 7BSQ: Room G16, 7 Bristo Square
Course support and e-mail policy
Course schedule, including information on deadlines and links to class materials
Big questions and high-level themes for the course
Reading list (divided by lectures) indicating REQUIRED and SUGGESTED materials
UPDATED 17th March Unit 1: Information and materials for Student seminar series 1 (SSS1) and Assignment 1, including SSS1 papers
UPDATED 17th March Unit 2: Information and materials for Student seminar series 2 (SSS2) and Assignment 2, including SSS2 papers
Feedback and marking information, including marking guides (rubrics) for the assignments
Exam information and past papers
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This course consists of a mixture of lectures, small-group class
activities, student-led seminars, independent readings, and full-class
The course begins by presenting introductory lectures and readings about several core systems (i.e. existent adaptive learning environments) that will be referenced throughout the semester as examples for more specific topic units, including but not limited to user modelling, metacognition, feedback, and system evaluation. Topic units will be supported by additional reading and class activities. There may also be a small number of scheduled guest lectures (to be confirmed - probably not this year...).
The course also explicitly asks four "big questions" about what adaptive learning environments ARE, and what they have tried to accomplish (and how/why). Throughout the course, the class will collaborate to gather evidence related to these questions from the various systems, topics, and papers discussed, and will try to collectively generate some answers. Time permitting, the course will culminate with a class debate about whether or not we believe that ALE/ITS research has (so far) succeeded in accomplishing what we have identified as its main goals.
Student Seminar Series (SSS)
The student seminar series (SSS) combine out-of-class preparation with a student-led presentation to the rest of the class. The seminar tasks are designed to add more in-depth information to the introductory lectures, and allow students to practice key skills for the assignments in a context where their classmates can help them, and where they can get formative feedback (see below). There will be two seminar series this year, with all students participating in each series as a part of a small group (about 4 to 5 students).
Each seminar series is linked to a written assignment. This assignment will build directly on the task that students have accomplished in their seminar, and the seminar readings. Thus, the seminar instructions and the assignment are introduced at the same time, so that students have a chance to choose the combined seminar/assignment topic that interests them most.
Feedback and marking:
For each student seminar series (SSS), each of the groups will receive brief formative feedback on how well they have accomplished their task, with specific comments for improvement before they submit the assignment. Each student's essay assignments will receive summative feedback in the form of a completed marking guide (i.e. rubric) assessing the work on various categories/subtasks. Each student will also receive feedback on points where s/he is already doing well, and priorities for improving on the next assignment (or for the exam, in the case of assignment 2).
The Exam - see exam notes
The exam will comprise 3 questions, to be completed in 2 hours. In all questions, credit will be given for detail; for reference to relevant literature and research; for reference to systems; for use of examples; for discussion of strengths and limitations of approaches considered; and for justification of conclusions.
Question 1 is compulsory and will consist of a number of several parts. These may ask about specific concepts or systems or methods, in relation to the lecture materials and the core systems and may also have design aspects (or systems or studies).
There will then be a choice of two further questions: either Question 2 or Question 3. These longer questions can be essay questions or design questions, or a combination. They may similar to material in the two assignments.
Essay questions will be similar to the assignments in that they ask you to give explanations, or suggest solutions to problems, or discuss or critically evaluate issues, based on evidence from the field-- you can draw on ANY evidence from any system(s), papers, and studies, as long as this evidence is relevant, detailed, and accurate. Simply memorising isolated facts about systems will not be a very good strategy for essays, as you will see if you look at previous years' exams. Thinking in terms of argumentation, evidence, and the course's "big questions" is likely to be a much better strategy (and also a far more interesting one).
The design questions will draw on design of all or part of system, or on studies to inform the design or evaluation of a system, and will may require knowledge of existing systems and previous research to base the design on, or to compare. It may involve specification of task requirements, learner group, example interactions, and methods for design and evaluation (formative and summative).
The format of questions 2 and 3 will be similar to those in past Advanced Interactive Learning Environments (AILE) and Adaptive Learning Environments (MSc/UG4) exam papers.
FAQ 1: How much programming is in this course?
There is ZERO programming in this course. We will be talking about existing adaptive learning environments and about new designs at a fairly high level, not at a detailed implementation level. That said, knowledge of programming will certainly add to your understanding of the course materials.
FAQ 2: Is this course suitable for visiting students? Yes. Visiting students are very welcome. Anyone with some general background in any of the following subjects should be fine to take this course: cognitive science, education, psychology, human-computer interaction, dialogue systems, AI. Unlike some other courses in Informatics, ALE-1 does not build directly on very specific content from earlier courses.
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